Automation and Cloud Services Engineer

The Tech Academy delivers cost-effective and self-paced online coding boot camps that are tailored for beginners with no prior technical or coding knowledge. Our certification programs thoroughly cover in-demand skills for the tech industry, are endorsed by stellar online reviews and designed to fit around your personal schedule to prepare you for your tech career with a well-rounded tool kit. We have been offering thorough, budget-friendly, flexible, and trusted coding boot camps for over a decade. Founded in 2014, The Tech Academy specializes in certifying students in a wide range of technical specialties, including: AI, coding, cybersecurity, data science, app development, design, web development, and more. After your coding boot camp, our job placement specialists will provide you with career guidance. Our team has successfully placed over 1,000 graduates in technical positions, with most making an average of more than $30/hour in their first job after graduation. Here is an overview of The Tech Academy's certification programs: 1. FLEXIBLE SCHEDULING & SELF-PACED TRAINING 2. BEGINNER-FRIENDLY COURSES 3. WELL-ROUNDED & THOROUGH TRAINING 4. AFFORDABLE & BUDGET-FRIENDLY TUITION 5. OVER 1,000 5-STAR REVIEWS ONLINE 6. JOB PLACEMENT TRAINING & ASSISTANCE The Tech Academy’s online certification programs start at $5,980, with multiple tuition financing options available. Start your journey into the technology industry today with one of our award-winning online coding boot camps! Find out more here by contacting us here: https://thetechacademy.us Your dream job in tech is just a Tech Academy boot camp away!

Qualis LLC is seeking a highly experienced Golden Dome for America System of Systems Integration SME to provide expert-level technical leadership and mission integration support across a portfolio of highly classified space control, ground, and C2 systems. The successful candidate will lead and support system design, integration, test, and operational efforts for advanced space control systems—ensuring the alignment of technical architectures with mission requirements. Essential Duties: Serves as a senior technical authority for development and integration of highly classified space control systems, including space, ground, and command-and-control (C2) elements. Guides the maturation of emerging technologies through all Technology Readiness Levels (TRLs) from concept to deployment. Leads and contributes to the development of space system architectures, system-level technical requirements, and associated program documentation in support of ACAT-like programs. Provides systems engineering and program management expertise for information operations and multidomain space and airborne capabilities. Conducts system-level design reviews, technical audits, and risk assessments. Supports space situational awareness (SSA) architecture development and assess associated capability gaps and limitations. Offers technical leadership across multiple space control technologies including optical sensors, radar, SIGINT, electronic support measures, and communications systems. Leads the integration, test, and operations planning for ground system architectures in support of space control missions. Interfaces with government stakeholders to ensure technical solutions align with mission needs and strategic objectives. Requirements Required Qualifications: Active Top Secret clearance with SCI eligibility. Minimum of 15 years of experience in space systems engineering, systems integration, and technical program leadership. Demonstrated expertise in the full lifecycle of space system development—from architecture and design to test, integration, and operational fielding. Proven experience coordinating across classified programs and complex acquisition frameworks. Strong understanding of SSA capabilities, limitations, and future architecture needs. Track record of developing and managing high-level technical documentation, reviews, and artifacts for large defense programs. In-depth knowledge of space control mission areas and supporting ground infrastructure. Exceptional communication, coordination, and leadership skills, particularly in multi-agency or cross-domain environments. Preferred Qualifications: Advanced degree in Engineering, Physics, Space Systems, or a related technical discipline. Prior experience with ACAT I or II programs and DoD 5000-series documentation. Experience working within Special Access Programs (SAPs) or compartmented environments. Benefits Qualis LLC is committed to hiring and retaining a diverse and talented workforce who can contribute to the mission and vision of the Company. Our employees are our greatest asset and we promote a positive work environment, teamwork, professional growth, innovation, community involvement, flexible scheduling and a family-friendly work environment. Equal Opportunity Employer/M/F/Vet/Disabled and a Participant in E-Verify

@everyone Hiring: Consolidation and Packaging Operator: Young, quick learner. Fluent in both Chinese and English. Capable of managing temporary workers to some extent, basic computer skills. Must be able to work early shifts and rotating shifts (6am-3pm/2pm-12pm), responsible, strong stress tolerance. Work location: Vernon. Contact number: 9296267666 6269771733 WeChat ID: zxm6269771733

I started a tic tok channel that's blew up, 70k plus followers in 2 months, I need help setting up my merch to be sold and learning how to use tic toc in general, my channel is Brooklynice66, feel free to take a look and see if you could help me learn the basics of making money 💰. Thank you

Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology.  Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. We are seeking a Senior AI/ML Computer Vision Engineer to drive the development and deployment of AI-powered features across our smart home automation product lines, which includes smart security cameras, video doorbells and autonomous vacuum cleaners. This role is crucial for optimizing real-time machine learning inference and video analytics at the edge, ensuring seamless integration with cloud infrastructure while maximizing performance and efficiency. The ideal candidate has a strong background in embedded AI, computer vision, and real-time video processing with hands-on experience in deploying and optimizing ML models on constrained edge devices. Responsibilities Lead the development of ML-based computer vision pipelines for real-time object detection, tracking, and classification across cameras, radar, LiDAR, and other sensors Utilize multi-sensor fusion techniques, combining video, audio, and radar/LiDAR data to enhance smart device intelligence. Optimize deep learning models for low-latency inference on embedded hardware (e.g., TensorFlow Lite, ONNX Runtime, OpenVINO, NVIDIA Jetson, Coral Edge TPU). Implement quantization, pruning, and model compression to maximize performance on edge devices. Collaborate with cloud team to develop edge-to-cloud data pipelines Requirements Required Qualifications Master’s degree in computer science or related field 3-7 years of experience in embedded AI, edge computing, and computer vision. Strong proficiency in Python for embedded AI development. At least 4 years of experience in deep learning frameworks such as TensorFlow, PyTorch and Darknet Expertise in machine learning model deployment on resource-constrained edge devices. Proficiency in image/video processing and computer vision tools such as PIL/Pillow, gstreamer, FFmpeg, OpenCV Able to simultaneously manage multiple projects Desired Qualifications Familiarity with state-of-the-art deep learning models for image segmentation and object detection Experience in Ensembling methods for combining multiple ML models Knowledge of low-power optimization techniques for AI inference on edge hardware. C/C++ Benefits Salary range: $130,000-$180,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

@everyone Hiring: Distribution warehouse hiring forklift operators, warehouse workers, pickers, outbound and inbound handlers, able to lift 40-pound items, $4500/month, 6 days per week, 9 hours per day, work location: Pomona, contact number: 6269771733 9296267666 WeChat ID: zxm6269771733